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Architecture of Grid Resource Allocation Management Based on QoS., и . GCC (2), том 3033 из Lecture Notes in Computer Science, стр. 81-88. Springer, (2003)CLEVE: Contrastive Pre-training for Event Extraction., , , , , , , , и . ACL/IJCNLP (1), стр. 6283-6297. Association for Computational Linguistics, (2021)Adversarial Training for Weakly Supervised Event Detection., , , , и . NAACL-HLT (1), стр. 998-1008. Association for Computational Linguistics, (2019)Preserving Knowledge Invariance: Rethinking Robustness Evaluation of Open Information Extraction., , , , , , , , и . EMNLP, стр. 5876-5890. Association for Computational Linguistics, (2023)MAVEN-Arg: Completing the Puzzle of All-in-One Event Understanding Dataset with Event Argument Annotation., , , , , , , , , и 2 other автор(ы). CoRR, (2023)The Devil is in the Details: On the Pitfalls of Event Extraction Evaluation., , , , , , , и . ACL (Findings), стр. 9206-9227. Association for Computational Linguistics, (2023)Adversarial Language Games for Advanced Natural Language Intelligence., , , , , , , , и . CoRR, (2019)R-Eval: A Unified Toolkit for Evaluating Domain Knowledge of Retrieval Augmented Large Language Models., , , , , , , , и . KDD, стр. 5813-5824. ACM, (2024)OpenEP: Open-Ended Future Event Prediction., , , , и . CoRR, (2024)OmniEvent: A Comprehensive, Fair, and Easy-to-Use Toolkit for Event Understanding., , , , , , , и . EMNLP (Demos), стр. 508-517. Association for Computational Linguistics, (2023)